In order to address the issue of sensor configuration redundancy in intelligent driving,this paper constructs a multi-objective optimization model that considers cost,coverage ability,and perception performance.And th...In order to address the issue of sensor configuration redundancy in intelligent driving,this paper constructs a multi-objective optimization model that considers cost,coverage ability,and perception performance.And then,combining a specific set of parameters,the NSGA-II algorithm is used to solve the multi-objective model established in this paper,and a Pareto front containing 24 typical configuration schemes is extracted after considering empirical constraints.Finally,using the decision preference method proposed in this paper that combines subjective and objective factors,decision scores are calculated and ranked for various configuration schemes from both cost and performance preferences.The research results indicate that the multi-objective optimization model established in this paper can screen and optimize various configuration schemes from the optimal principle of the vehicle,and the optimized configuration schemes can be quantitatively ranked to obtain the decision results for the vehicle under different preference tendencies.展开更多
柳杉毛虫是一种严重为害柳杉的食叶害虫,探明柳杉毛虫的寄生蝇种类,将为该虫优势天敌的筛选提供更多的选择。本研究从野外采集柳杉毛虫幼虫并带回室内饲养,出蛆化蛹,羽化获得不同种类的寄生蝇。对获得的寄生蝇进行分类、鉴定,并描述其...柳杉毛虫是一种严重为害柳杉的食叶害虫,探明柳杉毛虫的寄生蝇种类,将为该虫优势天敌的筛选提供更多的选择。本研究从野外采集柳杉毛虫幼虫并带回室内饲养,出蛆化蛹,羽化获得不同种类的寄生蝇。对获得的寄生蝇进行分类、鉴定,并描述其系统分类地位、形态特征、地理分布及寄主。调查发现,柳杉毛虫的寄生蝇由多到少依次为蚕饰腹寄蝇Blepharipa zebina(Walker),瘦钩鬃麻蝇Sarcophaga(Sarcorohdendorfia)gracilior(Chen),黑角狭颊寄蝇Carcelia(s.str.)nigrantennata Chao et Liang,松毛虫狭颊寄蝇C.(s.str.)matsukarehae(Shima),星毛虫狭颊寄蝇C.(s.str.)illiberisi Chao et Liang,拟庸赘寄蝇Drino(Palexorista)inconspicuoides(Baranov),羚足鬃麻蝇S.(Sarcorohdendorfia)antilope Böttcher,共7种,其中蚕饰腹寄蝇、瘦钩鬃麻蝇、黑角狭颊寄蝇分布较广,种群数量较多,寄生率较高,分别为7.44%、7.37%、5.48%,被认为是优势种;且拟庸赘寄蝇为福建新分布记录;柳杉毛虫是黑角狭颊寄蝇、星毛虫狭颊寄蝇、拟庸赘寄蝇的新寄主;还发现2种重寄生蜂寄生于寄生蝇。记述柳杉毛虫的7种寄生蝇形态特征,有助于今后识别其天敌昆虫,研究害虫与天敌的种间关系,评价寄生蝇种群对维护柳杉林分生态系统稳定和防控柳杉毛虫的潜能,具有重要意义。展开更多
文摘In order to address the issue of sensor configuration redundancy in intelligent driving,this paper constructs a multi-objective optimization model that considers cost,coverage ability,and perception performance.And then,combining a specific set of parameters,the NSGA-II algorithm is used to solve the multi-objective model established in this paper,and a Pareto front containing 24 typical configuration schemes is extracted after considering empirical constraints.Finally,using the decision preference method proposed in this paper that combines subjective and objective factors,decision scores are calculated and ranked for various configuration schemes from both cost and performance preferences.The research results indicate that the multi-objective optimization model established in this paper can screen and optimize various configuration schemes from the optimal principle of the vehicle,and the optimized configuration schemes can be quantitatively ranked to obtain the decision results for the vehicle under different preference tendencies.
文摘柳杉毛虫是一种严重为害柳杉的食叶害虫,探明柳杉毛虫的寄生蝇种类,将为该虫优势天敌的筛选提供更多的选择。本研究从野外采集柳杉毛虫幼虫并带回室内饲养,出蛆化蛹,羽化获得不同种类的寄生蝇。对获得的寄生蝇进行分类、鉴定,并描述其系统分类地位、形态特征、地理分布及寄主。调查发现,柳杉毛虫的寄生蝇由多到少依次为蚕饰腹寄蝇Blepharipa zebina(Walker),瘦钩鬃麻蝇Sarcophaga(Sarcorohdendorfia)gracilior(Chen),黑角狭颊寄蝇Carcelia(s.str.)nigrantennata Chao et Liang,松毛虫狭颊寄蝇C.(s.str.)matsukarehae(Shima),星毛虫狭颊寄蝇C.(s.str.)illiberisi Chao et Liang,拟庸赘寄蝇Drino(Palexorista)inconspicuoides(Baranov),羚足鬃麻蝇S.(Sarcorohdendorfia)antilope Böttcher,共7种,其中蚕饰腹寄蝇、瘦钩鬃麻蝇、黑角狭颊寄蝇分布较广,种群数量较多,寄生率较高,分别为7.44%、7.37%、5.48%,被认为是优势种;且拟庸赘寄蝇为福建新分布记录;柳杉毛虫是黑角狭颊寄蝇、星毛虫狭颊寄蝇、拟庸赘寄蝇的新寄主;还发现2种重寄生蜂寄生于寄生蝇。记述柳杉毛虫的7种寄生蝇形态特征,有助于今后识别其天敌昆虫,研究害虫与天敌的种间关系,评价寄生蝇种群对维护柳杉林分生态系统稳定和防控柳杉毛虫的潜能,具有重要意义。
